Abstract
After completing this module, a student should be able to:
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Describe the components of an optimization problem.
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Define Objective Function.
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Appreciate the Simulated Annealing and Genetic Algorithm techniques.
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Construct an Objective Function with parameters and constraints for a system that needs the best solution known.
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References
Burch JG (1994) Cost and management accounting: a modern approach. West Publishing Company, Saint Paul. ISBN 0-314-02773-4
Stonedahl F, Wilensky U (2009) NetLogo simulated annealing model. http://ccl.northwestern.edu/netlogo/models/SimulatedAnnealing. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
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© 2016 Springer International Publishing Switzerland
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Brewer, K., Bareiss, C. (2016). Optimization. In: Concise Guide to Computing Foundations. Springer, Cham. https://doi.org/10.1007/978-3-319-29954-9_13
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DOI: https://doi.org/10.1007/978-3-319-29954-9_13
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